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The algorithm takes the customer historical data and uses a machine-learning model to forecast if the loan application for a customer will be approved or not.
Identify and describe the data breach incident and the method used by the perpetrator to launch the attack (data breach).
Classification and Alternative Techniques - attribute, discrete and continuous data, concepts of data classification, decision tree and decision tree modifier.
Howard has decided to open two new galleries, one in Hong Kong and one in Tokyo. How can the Internet help Howard with the two new locations.
Explain the following ingredients that decide the algorithm in the Fiestel cipher: Block size Key size-Subkey generation.
What is a decision tree and decision tree modifier? Note the importance.
Why are the traditional methods insufficient in satisfying the requirement of data collection?
Discuss the various concepts and techniques of opinion mining and the importance to transforming an organizations NLP framework.
Explain the major components of a data warehouse architecture, including the various forms of data transformations needed to prepare data for a data warehouse.
The article "A Comparative Study of Data Cleaning Tools", discusses four different data cleaning tools.
Research and provide a detailed meaning for at least three techniques in which encryption algorithms can produce ciphertext.
Write a k-Nearest Neighbor algorithm to classify the Iris data-set. Write both correct and wrong predictions.
Conduct a literature review of big data analytics with business intelligence within the Fortune 1000 company you researched.
In the article, we focus on deciding whether the results of two different data mining algorithms provides significantly different information.
Create a basic flowchart showing the high level steps used. Then create a second flowchart indicating where you would recommend improvements to the processes.
Given two numbers a and b, the least common multiple (lcm) of a and b is the smallest number m such that both a and b are factors of m.
In the article, "Overview of Data Mining", The author provides five key takeaways. Examine one key takeaway and expand on the information provided.
In the article, "Data Science and its Relationship to Big Data and Data-Driven Decision Making", the authors state "‘‘Big data'' technologies.
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitative data.
Article, "Data Mining Architecture: Components, Types & Techniques", The author discusses components, architectures, and techniques of data mining.
Find a peer-reviewed scholarly journal article discussing big data analytics. Complete a review of the article by writing a 2 to 3 page overview of the article.
After watching the videos, consider how algorithms work and explain how societal stereotypes and biases might be perpetuated by algorithms.
Conduct a literature review of big data handling approaches in smart cities including techniques, algorithms, and architectures.
Which are the main benefits that data has brought to Brentford FC? Could they have achieved the same results without data? If yes/no, why?